| Topic | Time |
|---|---|
| Introduction | 8:00 - 8:45 |
| Deep Learning 1 | 8:45 - 9:45 |
| Break | 9:45 - 10:00 |
| Deep Learning 2&3 | 10:00 - 12:00 |
| Lunch break | 12:00 - 13:30 |
| Deep Learning Hands on Session | 13:30 - 15:00 |
| Break | 15:00 - 15:15 |
| Big Data Cloud Platform Lecture and hands on | 15:15 - 16:00 |
| Analytical dashboard and report | 16:00 - 16:30 |
| Soft Skill and Project Cycle | 16:30 - 17:15 |
| Q&A | 17:15 - 17:30 |
Data science is the discipline of making data useful. Ok…so what is it?
“I know it when I see it. (Potter Stewart)”
Engineering: the process of making everything else possible
Analysis: the process of turning raw information into insights in a fast way
Modeling: the process of diving deeper into the data to discover the pattern we don’t easily see
(It is a group work from https://github.com/happyrabbit/academic_advisory/blob/master/authors.md !)